{"id":"W3138752812","doi":"10.1016/j.jes.2021.02.005","title":"Corrigendum to Mercury photoreduction and photooxidation in lakes: effects of filtration and dissolved organic carbon concentration. Journal of Environmental Sciences 68 (2018) 151-159","year":2021,"lang":"en","type":"erratum","venue":"Journal of Environmental Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Mercury (programming language); Environmental chemistry; Dissolved organic carbon; Filtration (mathematics); Chemistry; Environmental science; Total organic carbon; Photochemistry; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002389621,0.003076915,0.002348669,0.003879176,0.003443727,0.002806573,0.003802268,0.007019014,0.06219845],"category_scores_gemma":[0.02461523,0.001113113,0.002790328,0.003037141,0.001896392,0.002129382,0.002173256,0.005939619,0.04278642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00393081,"about_ca_system_score_gemma":0.004257386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03617192,"about_ca_topic_score_gemma":0.04415215,"domain_scores_codex":[0.9970674,0.0004059049,0.0005890435,0.000550104,0.001112137,0.0002753613],"domain_scores_gemma":[0.9821985,0.002992793,0.0006913971,0.001500697,0.01189424,0.0007223518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003753398,0.00001818396,0.0001071907,0.0002430787,0.00001077745,0.0003722495,0.00001974108,0.00006511784,0.0001836526,0.0004328859,0.988737,0.009772709],"study_design_scores_gemma":[0.00002922218,0.0000641366,0.001888727,0.0003372549,0.00006859121,0.0005092674,0.00009612053,0.0003166521,0.001167112,0.001346758,0.9941302,0.00004589773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002217072,0.002356765,0.0004645643,0.02295381,0.9686006,0.00003206044,0.0005635028,0.0002589633,0.004547922],"genre_scores_gemma":[0.01641438,0.02060189,0.004625897,0.07543073,0.3811608,0.000314904,0.003302611,0.001100404,0.4970485],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06219845,"threshold_uncertainty_score":0.2080746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123426691556588,"score_gpt":0.2349117858323787,"score_spread":0.2225691166767199,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}